The Experts below are selected from a list of 4359 Experts worldwide ranked by ideXlab platform
He La-mei - One of the best experts on this subject based on the ideXlab platform.
-
Analysis and Design of Simulation System for Logistics in Steelmaking Process Based on UML
Computer Simulation, 2007Co-Authors: He La-meiAbstract:Focusing on the advance in research and development of simulation system for logistics in Steelmaking Process, based on the confined development goal, a simulation software for logistics in Steelmaking Process was developed. The procedure of the software development was introduced. The requirements analysis of the simulation system was described with UML modeling tool. The UML model of system design was built up. The simulation software for logistics in Steelmaking Process was developed. A simulation case for the Process at the Vanadium Extracting and Steelmaking Plant of Panzhihua Iron and Steel Co. was conducted. From the result of the simulation case, it is shown that the simulation system is valid and helpful for the computer-assistant decision-making for steel making production.
Meng Zhang - One of the best experts on this subject based on the ideXlab platform.
-
a thermodynamic model of phosphate capacity for cao sio2 mgo feo fe2o3 mno al2o3 p2o5 slags equilibrated with molten steel during a top bottom combined blown converter Steelmaking Process based on the ion and molecule coexistence theory
Metallurgical and Materials Transactions B-process Metallurgy and Materials Processing Science, 2011Co-Authors: Xuemin Yang, Meng Zhang, Jianping DuanAbstract:A thermodynamic model for predicting the phosphate capacity of CaO-SiO2-MgO-FeO-Fe2O3-MnO-Al2O3-P2O5 slags at the Steelmaking endpoint during an 80-ton top–bottom combined blown converter Steelmaking Process has been developed based on the ion and molecule coexistence theory (IMCT). The phosphate capacity has a close relationship with the phosphate capacity index, whereas the logarithm of phosphate capacity is 12.724 greater than that of phosphate capacity index at 1873 K (1600 °C). The developed phosphate capacity prediction model can be also used to predict the phosphate capacity index with reliable accuracy compared with the measured and the predicted phosphate capacity index of the slags by other models in literatures. The results from the IMCT phosphate capacity prediction model show that the comprehensive effects of iron oxides and basic components control the dephosphorization reaction with an optimal ratio of (pct FeO)/(pct Fe2O3) as 0.62. The determined contribution ratio of FetO, CaO + FetO, MgO + FetO, and MnO + FetO to the phosphate capacity or phosphate capacity index of the slags is approximately 0.0 pct, 99.996 pct, 0.0 pct, and 0.0 pct, respectively. The generated 2CaO·P2O5, 3CaO·P2O5, and 4CaO·P2O5 as products of dephosphorization reactions accounts for 0.016 pct, 96.01 pct, and 3.97 pct of the phosphate capacity or phosphate capacity index of the slags, respectively.
-
a thermodynamic model of phosphorus distribution ratio between cao sio2 mgo feo fe2o3 mno al2o3 p2o5 slags and molten steel during a top bottom combined blown converter Steelmaking Process based on the ion and molecule coexistence theory
Metallurgical and Materials Transactions B-process Metallurgy and Materials Processing Science, 2011Co-Authors: Xuemin Yang, Jianping Duan, Yongliang Zhang, Meng Zhang, Jianchang WangAbstract:A thermodynamic model for calculating the phosphorus distribution ratio between top-bottom combined blown converter Steelmaking slags and molten steel has been developed by coupling with a developed thermodynamic model for calculating mass action concentrations of structural units in the slags, i.e., CaO-SiO2-MgO-FeO-Fe2O3-MnO-Al2O3-P2O5 slags, based on the ion and molecule coexistence theory (IMCT). Not only the total phosphorus distribution ratio but also the respective phosphorus distribution ratio among four basic oxides as components, i.e., CaO, MgO, FeO, and MnO, in the slags and molten steel can be predicted theoretically by the developed IMCT phosphorus distribution ratio prediction model after knowing the oxygen activity of molten steel at the slag-metal interface or the Fe (t) O activity in the slags and the related mass action concentrations of structural units or ion couples in the slags. The calculated mass action concentrations of structural units or ion couples in the slags equilibrated or reacted with molten steel show that the calculated equilibrium mole numbers or mass action concentrations of structural units or ion couples, rather than the mass percentage of components, can present the reaction ability of the components in the slags. The predicted total phosphorus distribution ratio by the developed IMCT model shows a reliable agreement with the measured phosphorus distribution ratio by using the calculated mass action concentrations of iron oxides as presentation of slag oxidation ability. Meanwhile, the developed thermodynamic model for calculating the phosphorus distribution ratio can determine quantitatively the respective dephosphorization contribution ratio of Fe (t) O, CaO + Fe (t) O, MgO + Fe (t) O, and MnO + Fe (t) O in the slags. A significant difference of dephosphorization ability among Fe (t) O, CaO + Fe (t) O, MgO + Fe (t) O, and MnO + Fe (t) O has been found as approximately 0.0 pct, 99.996 pct, 0.0 pct, and 0.0 pct during a combined blown converter Steelmaking Process, respectively. There is a great gradient of oxygen activity of molten steel at the slag-metal interface and in a metal bath when carbon content in a metal bath is larger than 0.036 pct. The phosphorus in molten steel beneath the slag-metal interface can be extracted effectively by the comprehensive effect of CaO and Fe (t) O in slags to form 3CaO center dot P2O5 and 4CaO center dot P2O5 until the carbon content is less than 0.036 pct during a top-bottom combined blown Steelmaking Process.
-
Fuzzy Pattern Recognition of Steelmaking Process for Converter
Advanced Materials Research, 2010Co-Authors: Qi Zhao, Meng Zhang, Yan Ru ChenAbstract:A new method is proposed for recognizing patterns of the Steelmaking Process based on the light intensity from the mouth of converter. By analyzing the fuzzy theory and the measurement of variation characteristics of the light intensity, the fuzzy pattern recognition system is established. And a simulation with Matlab is then performed. The experimental results show that the fuzzy system can identify the prophase, metaphase and anaphase periods of the Steelmaking effectively, and it provides a new method for the end-point auto-control of the converter Steelmaking.
C J Wang - One of the best experts on this subject based on the ideXlab platform.
-
behaviours of supersonic oxygen jet injected from four hole lance during top blown converter Steelmaking Process
Canadian Metallurgical Quarterly, 2014Co-Authors: H Wang, R Zhu, C J WangAbstract:AbstractThe top-blown oxygen jet behaviours at different stagnation temperatures in converter Steelmaking Process were investigated by using numerical simulation technique. The multiphase flow in top-blown converter with four-hole lance was computed. The results show that with the increasing stagnation temperature of the supersonic oxygen jet, the velocity and static temperature of the jet increase, while the potential core length of the jet shortens. The penetrability of the oxygen jet injected from a four-hole top-blown lance is improved with the increasing stagnation temperature of the jet from 300 to 900 K, while the penetrability declines with the further increase in the stagnation temperature from 900 to 1200 K. Although the penetration depth and impact area corresponding to the oxygen jet with stagnation temperature of 1200 K are smaller than those of 900 K, the horizontal velocity of liquid steel increases with the increasing stagnation temperature due to the increase in the intersection and inter...
-
Behaviours of supersonic oxygen jet injected from four-hole lance during top-blown converter Steelmaking Process
Canadian Metallurgical Quarterly, 2014Co-Authors: H Wang, R Zhu, C J WangAbstract:The top-blown oxygen jet behaviours at different stagnation temperatures in converter Steelmaking Process were investigated by using numerical simulation technique. The multiphase flow in top-blown...
Rong Zhu - One of the best experts on this subject based on the ideXlab platform.
-
Effect of Furnace Gas Composition on Characteristics of Supersonic Oxygen Jets in the Converter Steelmaking Process.
Materials (Basel Switzerland), 2020Co-Authors: Liujie Yao, Guangsheng Wei, Rong Zhu, Yixing Tang, Kai DongAbstract:During the converter Steelmaking Process, the presence of supersonic oxygen jets can provide oxygen to high-temperature metal baths that promotes chemical reactions in the bath, accelerates the smelting rhythm, and facilitates a uniform distribution of the ingredients in the bath. In this paper, a computational fluid dynamics (CFD) model with combustion reactions is established and compared to the results of combustion experiment. This paper studies the behavior and fluid flow characteristics of supersonic oxygen jets under different environmental compositions under a Steelmaking temperature of 1873 K. This validated CFD model can be used to investigate the effect of furnace gas on supersonic oxygen jet characteristics during the converter Steelmaking Process. The results indicate that the composition of furnace gas has an impact on the characteristics of the oxygen jet. Specifically, as the carbon monoxide (CO) volume fraction increases, the high velocity region of supersonic oxygen jet increases, and the high temperature and the high turbulent kinetic energy regions expand.
-
Influence of the non-uniform bottom blowing gas supply mode on the dynamic conditions of molten pool during the converter Steelmaking Process
Ironmaking & Steelmaking, 2020Co-Authors: Liujie Yao, Fei Zhao, Guangsheng Wei, Rong Zhu, Kai Dong, Yixing TangAbstract:During the converter Steelmaking Process, with an increase in the furnace life, the bottom blowing components will have different degrees of blockage. In this study, water model and numerical simul...
-
Effect of Lance Structure on Behavior of Coherent Jet in EAF Steelmaking Process.
Materials (Basel Switzerland), 2020Co-Authors: Fuhai Liu, Guangsheng Wei, Rong Zhu, Shiliang FanAbstract:During the electric arc furnace Steelmaking Process, the coherent jet technology was widely used to protect the kinetic energy of the supersonic oxygen jet and achieve better mixing effects. Comparing with the conventional oxygen lance, the coherent lance could increase the surface area of impaction cavity, resulting in a better stirring effect and higher reaction rate. However, there was limited research about the effect of restriction structure for the coherent lance tip on the flow field characteristic of the main oxygen jet. In this research, three kinds of restriction structures have been investigated by numerical simulation and combustion experiment at room and high ambient temperature conditions. Then an optimum restriction structure would be tested in a 75 t electrical arc furnace Steelmaking Process to verify its metallurgical property.
-
Utilization of carbon dioxide injection in BOF–RH Steelmaking Process
Journal of CO2 Utilization, 2019Co-Authors: Baochen Han, Guangsheng Wei, Rong Zhu, Jiang Juanjuan, Feng Chao, Dong Jianfeng, Runzao LiuAbstract:Abstract Iron and steel industry is a large carbon dioxide (CO2) emitter, and it is important for iron and steel enterprises to utilize CO2 as a resource in the Steelmaking Process. The study involves reviewing recent innovations and advances in CO2 injection in the basic oxygen furnace (BOF)–Rheinsahl Heraeus (RH) Steelmaking Process. In BOF Steelmaking tests, CO2 injection reduces the amount of dust generation with 11.15%, increases CO concentration of the converter gas with 2.66%, increases dephosphorization rate with 6.99% and reduces the endpoint nitrogen content about 6 ppm, and protects bottom-blowing elements. In the RH refining Process, CO2 injection benefits the Process of dehydrogenation and removal of inclusions. Besides, some drawbacks and corresponding solutions of this technology are presented. Based on the results of a large number of theoretical and experimental studies, combining the mature technology of CO2 capture at present, a new cyclic utilization of CO2 in the BOF–RH Steelmaking Process is proposed to adapt for actual production in the iron and steel industry.
-
Research of Digital Platform and Process Guidance Model in EAF Steelmaking Process
The Minerals Metals & Materials Series, 2018Co-Authors: Yang Lingzhi, Rong Zhu, Kai Dong, Guangsheng WeiAbstract:As a shortage of information technology support, steel plant is unable to real-time tracking production cost of each working procedure, and can’t form the information feedback in time. Information integration technology for dynamic monitoring becomes a development trend of Process control in advanced iron and steel enterprise. The paper based on the characteristics of EAF Steelmaking Process and requirements build the digital platform and Process guidance model, which is designed to solve for smelting composition control, cost control, and optimizing guide in EAF Steelmaking Process. The model is including: data acquisition module, cost monitoring and calculation module, EAF endpoint carbon control module, alloy material optimization module, component monitoring and forecast module, Process guidance module, data maintenance and query module.
Guangsheng Wei - One of the best experts on this subject based on the ideXlab platform.
-
Effect of Furnace Gas Composition on Characteristics of Supersonic Oxygen Jets in the Converter Steelmaking Process.
Materials (Basel Switzerland), 2020Co-Authors: Liujie Yao, Guangsheng Wei, Rong Zhu, Yixing Tang, Kai DongAbstract:During the converter Steelmaking Process, the presence of supersonic oxygen jets can provide oxygen to high-temperature metal baths that promotes chemical reactions in the bath, accelerates the smelting rhythm, and facilitates a uniform distribution of the ingredients in the bath. In this paper, a computational fluid dynamics (CFD) model with combustion reactions is established and compared to the results of combustion experiment. This paper studies the behavior and fluid flow characteristics of supersonic oxygen jets under different environmental compositions under a Steelmaking temperature of 1873 K. This validated CFD model can be used to investigate the effect of furnace gas on supersonic oxygen jet characteristics during the converter Steelmaking Process. The results indicate that the composition of furnace gas has an impact on the characteristics of the oxygen jet. Specifically, as the carbon monoxide (CO) volume fraction increases, the high velocity region of supersonic oxygen jet increases, and the high temperature and the high turbulent kinetic energy regions expand.
-
Influence of the non-uniform bottom blowing gas supply mode on the dynamic conditions of molten pool during the converter Steelmaking Process
Ironmaking & Steelmaking, 2020Co-Authors: Liujie Yao, Fei Zhao, Guangsheng Wei, Rong Zhu, Kai Dong, Yixing TangAbstract:During the converter Steelmaking Process, with an increase in the furnace life, the bottom blowing components will have different degrees of blockage. In this study, water model and numerical simul...
-
Effect of Lance Structure on Behavior of Coherent Jet in EAF Steelmaking Process.
Materials (Basel Switzerland), 2020Co-Authors: Fuhai Liu, Guangsheng Wei, Rong Zhu, Shiliang FanAbstract:During the electric arc furnace Steelmaking Process, the coherent jet technology was widely used to protect the kinetic energy of the supersonic oxygen jet and achieve better mixing effects. Comparing with the conventional oxygen lance, the coherent lance could increase the surface area of impaction cavity, resulting in a better stirring effect and higher reaction rate. However, there was limited research about the effect of restriction structure for the coherent lance tip on the flow field characteristic of the main oxygen jet. In this research, three kinds of restriction structures have been investigated by numerical simulation and combustion experiment at room and high ambient temperature conditions. Then an optimum restriction structure would be tested in a 75 t electrical arc furnace Steelmaking Process to verify its metallurgical property.
-
Utilization of carbon dioxide injection in BOF–RH Steelmaking Process
Journal of CO2 Utilization, 2019Co-Authors: Baochen Han, Guangsheng Wei, Rong Zhu, Jiang Juanjuan, Feng Chao, Dong Jianfeng, Runzao LiuAbstract:Abstract Iron and steel industry is a large carbon dioxide (CO2) emitter, and it is important for iron and steel enterprises to utilize CO2 as a resource in the Steelmaking Process. The study involves reviewing recent innovations and advances in CO2 injection in the basic oxygen furnace (BOF)–Rheinsahl Heraeus (RH) Steelmaking Process. In BOF Steelmaking tests, CO2 injection reduces the amount of dust generation with 11.15%, increases CO concentration of the converter gas with 2.66%, increases dephosphorization rate with 6.99% and reduces the endpoint nitrogen content about 6 ppm, and protects bottom-blowing elements. In the RH refining Process, CO2 injection benefits the Process of dehydrogenation and removal of inclusions. Besides, some drawbacks and corresponding solutions of this technology are presented. Based on the results of a large number of theoretical and experimental studies, combining the mature technology of CO2 capture at present, a new cyclic utilization of CO2 in the BOF–RH Steelmaking Process is proposed to adapt for actual production in the iron and steel industry.
-
Research of Digital Platform and Process Guidance Model in EAF Steelmaking Process
The Minerals Metals & Materials Series, 2018Co-Authors: Yang Lingzhi, Rong Zhu, Kai Dong, Guangsheng WeiAbstract:As a shortage of information technology support, steel plant is unable to real-time tracking production cost of each working procedure, and can’t form the information feedback in time. Information integration technology for dynamic monitoring becomes a development trend of Process control in advanced iron and steel enterprise. The paper based on the characteristics of EAF Steelmaking Process and requirements build the digital platform and Process guidance model, which is designed to solve for smelting composition control, cost control, and optimizing guide in EAF Steelmaking Process. The model is including: data acquisition module, cost monitoring and calculation module, EAF endpoint carbon control module, alloy material optimization module, component monitoring and forecast module, Process guidance module, data maintenance and query module.
